eZassi

AUGUST 29, 2023

It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain. His or her idea must be recorded, reviewed, and promoted in a systemized process of non-siloed corporate ideation. Industry 4.0 Industry 4.0

Industry 52

Industry Software Review Technical Review Software 52

Qmarkets

JUNE 16, 2017

Recent trends suggest that the automotive industry might be next on Silicon Valley's disruption list. Besides a surge of auto tech startups and Tesla's success, Silicon Valley's new affair with the automotive industry is heightened by chatter about a secret car project by the most prominent disruptor of them all: Apple. In the U.S.

Industry 56

Industry Technical Review Software Review Disruption 56

Corporate Innovation

JULY 4, 2015

Companies in the automotive value chain are faced with a challenging future. Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Despite their high R&D investments, automotive OEMs are not considered top innovators.

Disruption 61

Disruption Big Data Technical Review Software Review 61

Corporate Innovation

JULY 4, 2015

Companies in the automotive value chain are faced with a challenging future. Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Despite their high R&D investments, automotive OEMs are not considered top innovators.

Disruption 61

Disruption Big Data Technical Review Software Review 61

Integrative Innovation

JANUARY 27, 2016

Unpredictable environments : Inherently dynamic and unpredictable industries (such as technology, software, fashion or internet retailing) require experimentation without predefined goals, embedded in the operations, to increase variance. A well-suited way to govern this approach is to manage a portfolio of initiatives.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

hackerearth

JULY 19, 2018

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Automotive industry. Manufacturing. Conclusion.

Artificial Inteligence 79

Artificial Inteligence Technical Review Software Review Big Data 79